Ecology. 2014 Feb;95(2):466-74. doi: 10.1890/13-0436.1.
Land use is known to reduce the diversity of species and complexity of biotic interactions. In theory, interaction networks can be used to predict the sensitivity of species against co-extinction, but this has rarely been applied to real ecosystems facing variable land-use impacts. We investigated plant-pollinator networks on 119 grasslands that varied quantitatively in management regime, yielding 25401 visits by 741 pollinator species on 166 plant species. Species-specific plant and pollinator responses to land use were significantly predicted by the weighted average land-use response of each species' partners. Moreover, more specialized pollinators were more vulnerable than generalists. Both predictions are based on the relative interaction strengths provided by the observed interaction network. Losses in flower and pollinator diversity were linked, and mutual dependence between plants and pollinators accelerates the observed parallel declines in response to land-use intensification. Our findings confirm that ecological networks help to predict natural community responses to disturbance and possible secondary extinctions.
土地利用被认为会降低物种多样性和生物相互作用的复杂性。从理论上讲,相互作用网络可用于预测物种对共同灭绝的敏感性,但这很少应用于面临可变土地利用影响的真实生态系统。我们调查了 119 个草地的植物-传粉者网络,这些草地在管理方式上存在定量差异,在 166 种植物上有 741 种传粉者物种进行了 25401 次访问。每种物种对土地利用的特异性植物和传粉者反应都可以通过其伙伴的加权平均土地利用反应来显著预测。此外,更专业化的传粉者比一般传粉者更容易受到影响。这两个预测都基于观察到的相互作用网络提供的相对相互作用强度。花朵和传粉者多样性的损失是相互关联的,植物和传粉者之间的相互依存关系加速了对土地利用集约化的响应的观察到的平行下降。我们的发现证实,生态网络有助于预测自然群落对干扰和可能的二次灭绝的反应。